Stenotyping is a writing method system used to transcribe spoken texts, rapidly and in real time, using a mechanical or digital device equipped with a special keyboard. This device is called a stenotype, stenotype machine, shorthand machine or steno writer, and it is a specialized chorded keyboard or typewriter allowing to performing beats of one or more keys simultaneously. Stenotyping requires the application of specific coded writing systems intended to limit and accelerate the number of beats. Whereas high-speed beats often generate a high amount of typos, the creation of a stenotype writing method based on a non-casual combination of morphemes would rely on a defined list of elements to be combined (i.e., the morphemes of a language) together with a production syntax (that is, the morphological rules of a language). Therefore, in this paper, we will show how to use NooJ linguistic resources and morphological grammars to build and implement a system for real-time typos automatic correction during stenotype writing.

NooJ Morphological Grammars for Stenotype Writing

Guarasci R;
2018

Abstract

Stenotyping is a writing method system used to transcribe spoken texts, rapidly and in real time, using a mechanical or digital device equipped with a special keyboard. This device is called a stenotype, stenotype machine, shorthand machine or steno writer, and it is a specialized chorded keyboard or typewriter allowing to performing beats of one or more keys simultaneously. Stenotyping requires the application of specific coded writing systems intended to limit and accelerate the number of beats. Whereas high-speed beats often generate a high amount of typos, the creation of a stenotype writing method based on a non-casual combination of morphemes would rely on a defined list of elements to be combined (i.e., the morphemes of a language) together with a production syntax (that is, the morphological rules of a language). Therefore, in this paper, we will show how to use NooJ linguistic resources and morphological grammars to build and implement a system for real-time typos automatic correction during stenotype writing.
2018
Italiano
Mbarki, Samir and Mourchid, Mohammed and Silberztein, Max
Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications
200
212
978-3-319-73420-0
https://link.springer.com/chapter/10.1007/978-3-319-73420-0_17#citeas
Springer
Cham, Heidelberg, New York, Dordrecht, London
SVIZZERA
Sì, ma tipo non specificato
NooJ
local grammars
Stenotype writing
1
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Monteleone Mario ; Guarasci R.; Maisto A.
info:eu-repo/semantics/bookPart
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/420095
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